Applied Data Science (Online)
The Master of Science in Applied Data Science (Online) at the University of Michigan provides a focused program for students seeking advanced expertise in data analysis, machine learning, and computational methods. The curriculum emphasizes data management, statistical modeling, predictive analytics, and practical programming skills, preparing students to extract actionable insights from complex datasets. Students engage in hands on projects, applied research, and case studies, developing skills necessary to design data pipelines, implement machine learning algorithms, and apply evidence based solutions to real world problems. This program cultivates both technical proficiency and analytical expertise, equipping graduates to excel in data driven environments across multiple industries.
Learners participate in an interdisciplinary environment where computer science, statistics, and data applications intersect. The curriculum offers opportunities for applied projects, big data analysis, and predictive modeling, allowing students to explore advanced analytics, cloud computing, and data visualization techniques. Through mentorship, collaborative projects, and independent research, students refine problem solving, coding, and critical thinking skills. With a focus on evidence based practice and applied research, the program prepares graduates to implement innovative data solutions, drive decision making, and contribute to technological advancement.
Key information
Key Facts
- Program Title: Applied Data Science (Online)
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, Online
- Application Deadline: 15 November 2026
- Location: University of Michigan, United States
- Field of Study: Computer Sciences
- Language of Instruction: English
Program Structure
Semester 1 - Foundations in Applied Data Science
• Advanced Calculus and Differential Equations
• Linear Algebra for Applied Research
• Probability Theory and Statistical Modeling
• Computational Methods and Programming Techniques
Semester 2 - Advanced Applications and Research
• Machine Learning and Predictive Analytics
• Big Data Management and Cloud Computing
• Applied Data Science Project
• Data Visualization and Communication
Career Opportunities
Graduates of this program acquire advanced technical, analytical, and research skills that prepare them for careers in data science, business analytics, machine learning engineering, and technology consulting. They develop expertise in programming, statistical modeling, and predictive analytics, enabling them to extract insights, optimize processes, and drive data informed decision making. The program also prepares graduates for roles in research, data consultancy, and applied analytics across industries such as finance, healthcare, and technology. Graduates leave equipped to lead analytics projects, implement machine learning solutions, and advance organizational data capabilities.
Why Choose This Program
This program is ideal for students seeking a curriculum that integrates applied data science with hands on projects, advanced analytics, and research opportunities, offering flexible online learning for a broad range of professionals. Learners benefit from faculty expertise, interdisciplinary collaboration, and applied technical training that strengthen analytical, coding, and problem solving skills. The curriculum emphasizes evidence based practice, practical application, and professional development, preparing graduates to address complex data challenges and deliver actionable insights. With its focus on technical excellence and practical proficiency, the program provides a rigorous academic environment for students aspiring to careers in data science, analytics, and technology innovation.
Contact Information
For further information, please contact the admissions office at:
Phone: 734-764-8129
Email: rackadmis@umich.edu
Address: Graduate Admissions Office, University of Michigan, Ann Arbor, MI 48109, USA
